At a Glance
- Tasks: Lead customer data science projects, driving analytics and AI solutions for major clients.
- Company: Global consulting firm with a focus on customer experience and data science.
- Benefits: Competitive salary, bonus potential, hybrid work model, and career development opportunities.
- Other info: Join a thriving analytics practice with exciting challenges and impactful projects.
- Why this job: Shape the future of customer analytics while mentoring a dynamic team in a growth phase.
- Qualifications: 6+ years in data science, strong Python/SQL skills, and client-facing experience.
The predicted salary is between 77000 - 88000 € per year.
A global consulting firm is expanding its London-based Customer Data Science capability within its wider customer, digital, and marketing practice. This capability sits at the intersection of customer experience, data science, and applied AI, supporting large consumer-facing organisations to improve commercial performance through advanced analytics and GenAI-driven solutions. The team is in a growth phase, with strong investment and increasing demand for senior talent who can lead delivery and shape client engagements.
You will take ownership of customer data science workstreams on complex client engagements, combining technical expertise with leadership and commercial responsibility. This is a hands-on consulting leadership role where you will still engage in analytical work while primarily driving delivery, client outcomes, and team performance.
Typical responsibilities will include:
- Leading end-to-end customer analytics and data science workstreams
- Owning delivery quality, timelines, and client outcomes
- Designing and implementing customer, marketing, and commercial analytics solutions
- Leading development of predictive models and advanced analytics approaches
- Applying GenAI / LLMs to customer and marketing use cases
- Managing and mentoring junior team members
- Supporting proposal development and shaping new opportunities
- Acting as a key client interface on engagements
Requirements:
- Strong experience in customer DS, marketing DS
- Advanced Python and SQL capability
- Consultant Industry Experience preferable, but open to Consumer Services, or Agency
- Proven experience delivering machine learning models (predictive, classification, segmentation, forecasting)
- Experience applying GenAI / LLMs in real-world use cases
- Strong client-facing consulting or stakeholder management experience
- Ability to lead workstreams and drive delivery in complex environments
- Experience translating data into commercial and strategic insight
Ideal Profile:
- 6+ years' experience in data science, analytics, or consulting roles
- Proven experience leading delivery within client or commercial environments
- Comfortable balancing hands-on technical work with leadership responsibilities
- Exposure to consumer-facing industries such as retail, FMCG, financial services, or digital platforms
- Interest in building capability within a growing analytics practice
Customer Data Science Manager employer: Salt
As a leading global consulting firm, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and innovation. Our London-based team is at the forefront of customer data science, offering unique opportunities to engage in cutting-edge analytics while mentoring the next generation of talent. With competitive compensation, a hybrid working model, and a commitment to professional development, we provide an environment where your contributions directly impact client success and drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Science Manager
✨Tip Number 1
Network like a pro! Reach out to connections in the data science and consulting space. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects, especially those involving predictive models and GenAI applications. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and client management experience. Be ready to discuss how you've led analytics workstreams and delivered results in complex environments. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Customer Data Science Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Customer Data Science Manager. Highlight your experience in customer analytics, data science, and any relevant leadership roles. We want to see how your skills align with what we’re looking for!
Showcase Your Projects:Include specific examples of projects where you've led data science initiatives or delivered predictive models. We love seeing real-world applications of your skills, especially if they relate to customer experience or commercial outcomes.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your interest in GenAI and how you’ve applied it in past projects.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Let’s get your journey started!
How to prepare for a job interview at Salt
✨Know Your Data Science Stuff
Make sure you brush up on your customer data science knowledge, especially around predictive models and advanced analytics. Be ready to discuss specific projects where you've applied machine learning techniques, as well as your experience with Python and SQL.
✨Showcase Your Leadership Skills
This role is all about leading teams and driving delivery. Prepare examples of how you've managed workstreams and mentored junior team members. Highlight your ability to balance hands-on technical work with leadership responsibilities.
✨Understand the Client's Needs
Research the company and its clients thoroughly. Be prepared to discuss how your skills can help improve their commercial performance through data-driven solutions. Tailor your answers to show that you understand their business challenges and how you can address them.
✨Be Ready for Technical Questions
Expect some technical questions during the interview. Brush up on your knowledge of GenAI and LLMs, and be ready to explain how you've applied these technologies in real-world scenarios. Practice articulating complex concepts in a way that's easy to understand.
